Entry Level Machine Learning Research Scientist Jobs
New grad machine learning research scientist jobs attract recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings are on-site roles concentrated in Technology & Software, Electronics & Hardware, and Artificial Intelligence, with employers like Nuro, Qualcomm, and Scale AI hiring at this level now.
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Showing 5 of 13+ Entry Level Machine Learning Research Scientist jobs
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day.
Description
We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will take on high-risk, high-reward challenges - researching, designing, and improving state-of-the-art deep learning models trained on unique data, implementing novel machine learning algorithms, and developing solutions to problems that don't have obvious answers. Your scope will encompass various ML subfields and modalities, combining ideas from different fields to solve unique challenges and deliver solutions adopted broadly across teams.
Minimum Qualifications
- BS in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience.
- Experience in academic or industry research.
- Experience working with Pytorch.
Preferred Qualifications
- MS or PhD in Computer Science, Electrical Engineering, or a related field.
- Strong foundation in deep learning theory and hands-on experience training large-scale models.
- Deep knowledge in one or more of: self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
- Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion).
- Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code.
- Resilience and persistence - comfort with experimentation cycles where many attempts fail before one succeeds.
- Publication record at top-tier ML venues (NeurIPS, ICML, ICLR, Interspeech, ICASSP, etc.).
- Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics. Experience collaborating with distributed teams across time zones.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $134,700 and $203,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day.
Description
We are looking for a talented and experienced applied ML researcher who can both research new capabilities and develop frontier models using cutting-edge methods. In this role, you will take on high-risk, high-reward challenges - researching, designing, and improving state-of-the-art deep learning models trained on unique data, implementing novel machine learning algorithms, and developing solutions to problems that don't have obvious answers. Your scope will encompass various ML subfields and modalities, combining ideas from different fields to solve unique challenges and deliver solutions adopted broadly across teams.
Minimum Qualifications
- BS in Computer Science, Electrical Engineering, or a related field - or equivalent practical experience.
- Experience in academic or industry research.
- Experience working with Pytorch.
Preferred Qualifications
- MS or PhD in Computer Science, Electrical Engineering, or a related field.
- Strong foundation in deep learning theory and hands-on experience training large-scale models.
- Deep knowledge in one or more of: self-supervised learning, synthetic data generation, large language model training, or automatic speech recognition.
- Experience working with multimodal data (e.g., images, audio, time-series, or sensor fusion).
- Strong analytical and problem-solving skills; ability to translate research ideas into production-quality code.
- Resilience and persistence - comfort with experimentation cycles where many attempts fail before one succeeds.
- Publication record at top-tier ML venues (NeurIPS, ICML, ICLR, Interspeech, ICASSP, etc.).
- Multidisciplinary background spanning fields such as neuroscience, physics, signal processing, or mathematics. Experience collaborating with distributed teams across time zones.
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $134,700 and $203,000, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
See All 13 Entry Level Machine Learning Research Scientist Jobs
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Entry Level Machine Learning Research Scientist Jobs: Frequently Asked Questions
How do I get an entry level machine learning research scientist job?
Entry level machine learning research scientist roles reward candidates who can demonstrate hands-on work: a GitHub portfolio with original model implementations, a thesis or capstone project involving real datasets, or internship experience at a lab or tech company. Employers at this level look for fluency in Python, familiarity with frameworks like PyTorch or TensorFlow, and evidence that you can take a research problem from hypothesis to experiment to result.
Which companies hire entry level machine learning research scientists?
Companies hiring entry level machine learning research scientists right now include Nuro, Qualcomm, and Scale AI, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a mix of large technology companies with dedicated research divisions, well-funded AI startups, and enterprise firms building out internal ML capabilities.
Are there remote entry level machine learning research scientist jobs?
Yes, though on-site roles are still common at this stage. About 8% of entry level machine learning research scientist openings are remote or hybrid as of November 2026, with hybrid arrangements most common at larger employers who prefer new researchers to collaborate in person during early onboarding before shifting to a more flexible schedule.
Are these new grad machine learning research scientist jobs?
Yes, these listings include new grad, recent graduate, and junior machine learning research scientist roles. A posting is typically new-grad friendly when it explicitly welcomes zero to two years of experience, accepts internships or academic projects in place of professional tenure, or lists a portfolio or research publication as an alternative credential. Searching for new grad opportunities here surfaces roles built for candidates entering the field for the first time.
Which industries hire the most entry level machine learning research scientists?
Entry Level machine learning research scientist roles concentrate in Technology & Software, Electronics & Hardware, and Artificial Intelligence, based on current listings on Migrate Mate as of November 2026. These sectors drive junior hiring because they have active research pipelines, ongoing model development needs, and the infrastructure to support early-career researchers growing into more independent contributors.